Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) 豆 9.9分

资源最后更新于 2020-09-27 15:05:43

作者：Bernhard Schlkopf

出版社：The MIT Press

出版日期：2001-01

ISBN：9780262194754

文件格式： pdf

标签： 机器学习 核方法 MachineLearning Kernels 支持向量机与核方法 kernel 数学 支持向量机

简介· · · · · ·

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tas...